Remote Industrial Engineer: Modeling & Optimization Expert

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Remote work

Health benefits

Paid time off

Learning & development

Job summary

Placements24 is seeking an experienced Industrial Engineer to join a fully remote team focused on developing and refining advanced operational models and simulations for strategic planning and decision-making. You will optimize resource allocation, supply chain logistics, and production efficiency on a global scale while collaborating across time zones.

The role requires a deep analytical mindset, autonomous work style, and strong communication skills to translate complex challenges into

Qualifications

• Master's degree in Industrial Engineering, Operations Research, or a related quantitative field.
• Minimum 6 years of experience in industrial engineering with modeling and simulation focus.
• Expertise in simulation software such as AnyLogic or Simio and statistical tools like R, Python, or SAS.

Responsibilities

• Design, develop, and validate complex operational models and simulations for production and supply chain optimization.
• Analyze large datasets to identify trends, risks, and opportunities for process improvements.
• Develop performance metrics and dashboards to monitor key operational indicators.
• Collaborate with project teams across regions to gather requirements and validate model outputs.
• Provide expert technical guidance on statistical modeling, forecasting, and optimization techniques.
• Prepare comprehensive reports and present findings and recommendations to senior management.

Education

Master's degree in Industrial Engineering

Tools

AnyLogic

Simio

R

Python

SAS

Tableau

Power BI

Job description

Placements24 is seeking an experienced Industrial Engineer to join a fully remote team focused on developing and refining advanced operational models and simulations for strategic planning and decision-making. You will optimize resource allocation, supply chain logistics, and production efficiency on a global scale while collaborating across time zones.

The role requires a deep analytical mindset, autonomous work style, and strong communication skills to translate complex challenges into